Computational models of the emergence of self-exploration in 2-month-old infants
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F25%3A00389928" target="_blank" >RIV/68407700:21230/25:00389928 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1109/ICDL63968.2025.11204351" target="_blank" >https://doi.org/10.1109/ICDL63968.2025.11204351</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/ICDL63968.2025.11204351" target="_blank" >10.1109/ICDL63968.2025.11204351</a>
Alternative languages
Result language
angličtina
Original language name
Computational models of the emergence of self-exploration in 2-month-old infants
Original language description
Infants actively explore the relationship between actions and their associated effects (i.e., sensorimotor contingencies) before full-blown agency emerges. While there is experimental evidence for this development during the first year of life, the interplay of the associated cognitive processes is not yet well understood. This paper uses computational modeling to examine how exploratory behavior develops, based on one of the earliest experiments showing such behavior. In a seminal study of Rochat & Striano (1999), 2-month-old infants, contrary to newborns, showed differential behavioral patterns towards mouth-contingent sounds versus random sounds. This is interpreted as early evidence for action-effect exploration. We consider seven potential developmental factors as possibly explaining the emergence of active exploratory behavior in 2-month-olds: i) outcome prediction, ii) novelty preference, iii) fatigue, iv) strength, v) memory, vi) sensory noise, and vii) motor noise. These factors were implemented in both a supervised-learning model and a reinforcement learning model. Results from both models indicate that increased memory capacity with age is a key developmental factor underlying active exploration and, possibly, agency. Our code is published at: https://github.com/SpisakJ/Computational-models-of-the-emergence-of-self-exploration-in-2-month-old-infants.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
2025 IEEE International Conference on Development and Learning (ICDL)
ISBN
979-8-3315-4343-3
ISSN
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e-ISSN
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Number of pages
8
Pages from-to
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Publisher name
IEEE Conference Publications
Place of publication
Piscataway
Event location
Praha
Event date
Sep 16, 2025
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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